Predicting Intelligence Quotient, Immunity, Blood Sugar, Defective Vision Using Random Forest Classficiation

摘要

The uniqueness of a human is defined based on the intelligence quotient, the talents, the immunity, vulnerability to various diseases, blood sugar level, defects in the eyesight etc. This, when known in prior could serve the purpose of curing the disorders that exist or preventing the ones from occurring. This is to the most useful for the parents. If during the gestation, they could predict their child's talents and disorders, it could help them cultivate their child's skills, not just protecting their child from any possible threat but also to cure the existing ones. The idea of profiling a child before its birth i.e., pre-gestation and during gestation, to identify some key factors like intelligence quotient, immunity, vulnerability to diseases etc., and giving the parent a proper insight to act accordingly. This can be done with the help of the data gathered from the parents, their child (during gestation) etc., by applying machine learning algorithms like classification on the gathered data. Thus, we can profile every child for the same.